scholarly journals Methotrexate Disposition, Anti-Folate Activity, and Metabolomic Profiling to Identify Molecular Markers of Disease Activity and Drug Response in the Collagen-Induced Arthritis Mouse Model

Metabolites ◽  
2021 ◽  
Vol 12 (1) ◽  
pp. 24
Author(s):  
Yezan M. Salamoun ◽  
Kishore Polireddy ◽  
Yu Kyoung Cho ◽  
Matthew R. Medcalf ◽  
Ryan S. Funk
Keyword(s):  
Mouse Model ◽  
Disease Activity ◽  
Characteristic Curve ◽  
Autoimmune Arthritis ◽  
Plasma Samples ◽  
Variable Response ◽  
Collagen Induced Arthritis ◽  
Metabolomic Profiling ◽  
Healthy Control ◽  
Disease Induction

Methotrexate (MTX) is widely used in the treatment of autoimmune arthritis but is limited by its unpredictable and variable response profile. Currently, no biomarkers exist to predict or monitor early therapeutic responses to MTX. Using a collagen-induced arthritis (CIA) mouse model, this study aimed to identify biochemical pathways and biomarkers associated with MTX efficacy in autoimmune arthritis. Following arthritis disease induction, DBA/1J mice were treated with subcutaneous MTX (20 mg/kg/week) and disease activity was assessed based on disease activity scores (DAS) and paw volume (PV) measurements. Red blood cell (RBC) and plasma samples were collected at the end of the study and were assessed for folate and MTX content. Plasma samples were analyzed by semitargeted global metabolomic profiling and analyzed by univariate and multivariate analysis. Treatment with MTX was associated with significant reductions in disease activity based on both DAS (p = 0.0006) and PV (p = 0.0006). MTX therapy resulted in significant reductions in 5-methyltetrahydrofolate (5mTHF) levels in plasma (p = 0.02) and RBCs (p = 0.001). Reductions in both RBC and plasma 5mTHF were associated with lower DAS (p = 0.0007, p = 0.01, respectively) and PV (p = 0.001, p = 0.005, respectively). Increases in RBC MTX were associated with lower DAS (p = 0.003) but not PV (p = 0.23). Metabolomic analysis identified N-methylisoleucine (NMI) and quinolone as metabolites significantly altered in disease mice, which were corrected towards healthy control levels in mice treated with MTX. Reductions in plasma NMI were associated with lower DAS (p = 0.0002) and PV (p = 9.5 × 10−6). Increases in plasma quinolone were associated with lower DAS (p = 0.02) and PV (p = 0.01). Receiver-operating characteristic curve analysis identified plasma NMI (AUC = 1.00, p = 2.4 × 10−8), RBC 5mTHF (AUC = 0.99, p = 2.4 × 10−5), and plasma quinolone (AUC = 0.89, p = 0.01) as top discriminating metabolites of MTX treatment. Our data support a relationship between MTX efficacy and its effect on circulating folates and identified 5mTHF, NMI, and quinolone as potential therapeutic biomarkers of disease activity and MTX response in the CIA mouse model of autoimmune arthritis.

Plasma Metabolomic Profiling in Patients with Rheumatoid Arthritis Identifies Biochemical Features Indicative of Quantitative Disease Activity

2020 ◽  
Author(s):  
Benjamin Hur ◽  
Vinod K Gupta ◽  
Harvey Huang ◽  
Kerry A Wright ◽  
Kenneth J Warrington ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Feature Selection ◽  
Disease Activity ◽  
High Performance ◽  
Autoimmune Disorder ◽  
Plasma Samples ◽  
Metabolomic Profiling ◽  
Inflammatory Status ◽  
Patient Groups ◽  
Activity Groups

Background: Rheumatoid arthritis (RA) is a chronic, autoimmune disorder characterized by joint inflammation and pain. In patients with RA, metabolomic approaches, i.e., high-throughput profiling of small-molecule metabolites, on plasma or serum has thus far enabled the discovery of biomarkers for clinical subgroups, risk factors, and predictors of treatment response. Despite these recent advancements, the identification of blood metabolites that are predictive of quantitative disease activity remains an important challenge in precision medicine for RA. Herein, we use global plasma metabolomic profiling analyses to detect metabolites associated with, and predictive of, quantitative disease activity in patients with RA. Methods: Ultra-high performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was performed on a discovery cohort consisting of 128 plasma samples from 64 RA patients. The resulting metabolomic profiles were analyzed with two different strategies to find metabolites associated with Disease Activity Score-28 using C-reactive protein (DAS28-CRP). Mixed-effects regression models were used to identify metabolites differentially abundant between two disease activity groups (lower, DAS28-CRP <= 3.2; and higher, DAS28-CRP > 3.2); and to identify metabolites significantly associated with DAS28-CRP scores. A generalized linear model (GLM) was constructed for estimating DAS28-CRP using plasma metabolite abundances. For associating metabolites with CRP (an indicator of inflammation), metabolites differentially abundant between two patient groups (low-CRP, CRP <= 3.0 mg/L; high-CRP, CRP > 3.0 mg/L) were investigated. Results: We identified 33 metabolites differentially abundant between lower and higher disease activity groups (P < 0.05). Additionally, we identified 51 metabolites associated with DAS28-CRP (P < 0.05). A GLM based upon these 51 metabolites resulted in higher prediction accuracy (mean absolute error [MAE]+/-SD): 1.51+/-1.77) compared to a GLM without feature selection (MAE+/-SD: 2.02+/-2.21). The predictive value of this feature set was further demonstrated on a validation cohort of twelve plasma samples, wherein we observed a stronger correlation between predicted vs. actual DAS28-CRP (with feature selection: Spearmans rho = 0.69, 95% CI: [0.18, 0.90]; without feature selection: Spearmans rho = 0.18, 95% CI: [-0.44, 0.68]). Lastly, among all identified metabolites, the abundances of eight were significantly associated with CRP patient groups while controlling for potential confounders (P < 0.05). Conclusion: We demonstrate for the first time the prediction of quantitative disease activity in RA using plasma metabolomes. The metabolites identified herein provide insight into circulating pro-/anti-inflammatory metabolic signatures that can reflect disease activity and inflammatory status in patients with RA.

scholarly journals Anti-inflammatory Activity of Formononetin in a Collagen-induced Arthritis Mouse Model ofRheumatoid Arthritis

2020 ◽  
Author(s):  
Ying Zhao ◽  
GUIWU QU ◽  
Wenxue Lu ◽  
Qing Lv ◽  
Wenxing Shi ◽  
...  
Keyword(s):  
Mouse Model ◽  
Bone Erosion ◽  
Bone Destruction ◽  
Treated Group ◽  
Control Group ◽  
High Dose ◽  
Collagen Induced Arthritis ◽  
Hind Limbs ◽  
Healthy Control ◽  
Anti Inflammatory

Abstract Background: Rheumatoid arthritis (RA) is a common autoimmune disease characterized by chronic inflammation of the joints, leading to bone erosion and joint dysfunction. Although there are options for the treatment of RA, safer and more effective drugs are still being sought. Formononetin (FMN) is an isoflavonoid compound found in various plants, such as Astragalus propinquus Schischkin and Spatholobus suberectus. It has anti-tumor, anti-bacterial, anti-lipid peroxidation, and estrogen-like activities，and is a noteworthy compound for screening of anti-RA drugs. Methods: To investigate the anti-inflammatory effects of FMN in a collagen-induced arthritis (CIA) mouse model, thirty-six C57BL/6 mice were randomly divided into 6 groups: a healthy control group and 5 CIA groups. Arthritis was induced the CIA groups using chicken collagen type II. The CIA groups were divided in a control group (RA), a tripterygium glycosides (10 mg/kg body weight) treated group (TG), a low-dose (50 mg/kg) FMN group (FMN-L), a middle-dose(100mg/kg) FMN group (FMN-M), and a high-dose (200 mg/kg) FMN group (FMN-H). The control mice and CIA mice in the RA group were treated with an equal volume of 5% carboxymethylcellulose sodium. Drugs were delivered three times a week for four weeks, and the bodyweight, food-uptake, and swelling of the paws were monitored during the treatment process. Inflammatory cytokines and other biochemical indexes in the serum and joint tissues were analyzed, along with the expression levels of NF-κB pathway-related proteins (IκBα, p65, p-p65, TIPE2, and PCNP) in the spleen. Histopathological examinations were processed for the hind limbs. Results: FMN-M dramatically reduced the arthritis index in the CIA mice, inhibited the inflammatory cell infiltration, and prevented damage to the synovium and cartilage. Mechanistic studies suggested that FMN might reduce inflammation by inhibiting IκB-α degradation and by regulating the expression and release of NF-κB p65. Conclusions: These data suggest that FMN might be an active therapeutic agent for RA by preventing bone destruction, regulating inflammatory mediators, and suppressing NF-κB signaling pathways.

scholarly journals Plasma metabolomic profiling in patients with rheumatoid arthritis identifies biochemical features predictive of quantitative disease activity

2021 ◽  
Vol 23 (1) ◽  
Author(s):  
Benjamin Hur ◽  
Vinod K. Gupta ◽  
Harvey Huang ◽  
Kerry A. Wright ◽  
Kenneth J. Warrington ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Feature Selection ◽  
Disease Activity ◽  
High Performance ◽  
Validation Cohort ◽  
Plasma Samples ◽  
Metabolomic Profiling ◽  
Inflammatory Status ◽  
Patient Groups ◽  
Activity Groups

Abstract Background Rheumatoid arthritis (RA) is a chronic, autoimmune disorder characterized by joint inflammation and pain. In patients with RA, metabolomic approaches, i.e., high-throughput profiling of small-molecule metabolites, on plasma or serum has thus far enabled the discovery of biomarkers for clinical subgroups, risk factors, and predictors of treatment response. Despite these recent advancements, the identification of blood metabolites that reflect quantitative disease activity remains an important challenge in precision medicine for RA. Herein, we use global plasma metabolomic profiling analyses to detect metabolites associated with, and predictive of, quantitative disease activity in patients with RA. Methods Ultra-high-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS) was performed on a discovery cohort consisting of 128 plasma samples from 64 RA patients and on a validation cohort of 12 samples from 12 patients. The resulting metabolomic profiles were analyzed with two different strategies to find metabolites associated with RA disease activity defined by the Disease Activity Score-28 using C-reactive protein (DAS28-CRP). More specifically, mixed-effects regression models were used to identify metabolites differentially abundant between two disease activity groups (“lower”, DAS28-CRP ≤ 3.2; and “higher”, DAS28-CRP > 3.2) and to identify metabolites significantly associated with DAS28-CRP scores. A generalized linear model (GLM) was then constructed for estimating DAS28-CRP using plasma metabolite abundances. Finally, for associating metabolites with CRP (an indicator of inflammation), metabolites differentially abundant between two patient groups (“low-CRP”, CRP ≤ 3.0 mg/L; “high-CRP”, CRP > 3.0 mg/L) were investigated. Results We identified 33 metabolites differentially abundant between the lower and higher disease activity groups (P < 0.05). Additionally, we identified 51 metabolites associated with DAS28-CRP (P < 0.05). A GLM based upon these 51 metabolites resulted in higher prediction accuracy (mean absolute error [MAE] ± SD: 1.51 ± 1.77) compared to a GLM without feature selection (MAE ± SD: 2.02 ± 2.21). The predictive value of this feature set was further demonstrated on a validation cohort of twelve plasma samples, wherein we observed a stronger correlation between predicted and actual DAS28-CRP (with feature selection: Spearman’s ρ = 0.69, 95% CI: [0.18, 0.90]; without feature selection: Spearman’s ρ = 0.18, 95% CI: [−0.44, 0.68]). Lastly, among all identified metabolites, the abundances of eight were significantly associated with the CRP patient groups while controlling for potential confounders (P < 0.05). Conclusions We demonstrate for the first time the prediction of quantitative disease activity in RA using plasma metabolomes. The metabolites identified herein provide insight into circulating pro-/anti-inflammatory metabolic signatures that reflect disease activity and inflammatory status in RA patients.

scholarly journals OP0045 NLRP12 INVOLVES IN THE LUPUS WITH POSITIVE INTERFERON SIGNATURE

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 23.2-24
Author(s):  
Y. P. Tsao ◽  
F. Y. Tseng ◽  
C. W. Chao ◽  
M. H. Chen ◽  
S. T. Chen
Keyword(s):  
Gene Expression ◽  
Transcription Factor ◽  
Animal Models ◽  
Nucleic Acids ◽  
Disease Activity ◽  
Interferon Signature ◽  
Healthy Donors ◽  
Healthy Control ◽  
Lupus Disease Activity

Background:Systemic lupus erythematous (SLE) is a systemic autoimmune disease with diverse etiological factors. It was recognized that interferon (IFN) signature involved in the progress of SLE. NLRP12 (NOD-like receptor family (NLR) pyrin domain containing 12) is a pyrin containing NLR protein that we had linked its new biological function to the cross-regulation of Toll like receptor (TLRs) and Rig-I like receptor (RIG-I) pathways. NLPR12 acts as an innate immune check-point in regulating type I IFNs expression during TLRs and RIG-I activation. The importance of NLRP12 in lupus disease activity remained to be elucidated.Objectives:To clarify the role of NLRP12 in regulating the interferon signature.Methods:Peripheral blood mononuclear cells (PBMCs) were collected from SLE patients and healthy donors for analysis of NLRP12 and IFN-α gene expression by RT-QPCR. PBMCs were applied for Chromatin immuneprecipitation (ChIP) assay and electrical mobility shift assay (EMSA) to determine the putative transcription factor that regulates NLRP12 expression. An involvement of epigenetic regulation of NLRP12 expression in SLE patients was also analyzed. Bone marrow derived dendritic cells (BMDCs) were collected from wild type mouse and Nlrp12 knocked-out mice. Another CD14+ monocytes were isolated from 10 cases of lupus patients and 8 cases of healthy control, following by stimulating different type of nucleic acids, and IFN-α and IL-6 were measured with ELISA assay. CD14+ monocytes in lupus patients were also pre-treated with IFNAR2 antibody for further nucleic acid stimulation. Two mice models were applied for evaluation the role of Nlrp12: intraperitoneal injection of TMPD (2,6,10,14-tetramethylpentadecane, or pristane) in C57BL/6 mice and Faslpr mice. Both models were conducted with and without Nlrp12 knockout.Results:NLRP12 expression was significantly lower in PBMC isolated from SLE patients compared to healthy donors. The inverse correlation was observed in NLRP12 and IFNA gene expression as well as NLRP12 expression and amount of double-stranded DNA autoantibody in SLE patients. NLRP12 expression showed negative correlations with IFN-α treatment, as well as herpes simplex virus-1 (HSV-1) infection. Results from ChIP and EMSA analysis indicated a potential transcription factor 1 (TF-1) regulating NLRP12 promoter activity. TF-1 lead to transcriptional suppression of NLRP12 in SLE PBMC, and it was gradually induced after IFN treatment. Recruitment of TF-1 to NLRP12 promoter in SLE PBMC compared to the healthy PBMC was detected, and increased when treating with IFN. Human CD14+ monocytes collected from lupus and healthy control stimulating with different type of nucleic acids revealing significant increasing level of IFN-α and IL-6 in lupus patients. Among animal models, both pristine induced mice and Faslpr mice revealed increasing autoantibodies production and severity of glomerulonephritis in Nlrp12-/- group in comparison with Nlrp12+/+ ones, indicating the role of NLRP12 in maintaining positive interferon signature as well as disease activity.Conclusion:Expression level of NLRP1.2 has been demonstrated to be a biomarker of disease activity in SLE patients. The NLRP12 was involved in the interferon signature, which was also negatively regulated by TF-1. Both clinical samples and animal models revealed NLRP12 in maintaining the positive interferon signature, indicating the possible role of exacerbating factor for lupus disease activity.Disclosure of Interests:None declared

scholarly journals AB0031 T HELPER 17 CELLS WERE SIGNIFICANTLY DECREASED BY MITOCHONDRIAL ELECTRON TRANSPORT CHAIN COMPLEX INHIBITOR IN PATIENTS WITH RHEUMATOID ARTHRITIS

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1318.2-1318
Author(s):  
H. R. Lee ◽  
S. J. Yoo ◽  
J. Kim ◽  
I. S. Yoo ◽  
C. K. Park ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Electron Transport ◽  
Disease Activity ◽  
Th17 Cells ◽  
Electron Transport Chain ◽  
Chain Complex ◽  
Complex Iii ◽  
Mitochondrial Electron Transport Chain ◽  
Transport Chain ◽  
Healthy Control

Background:Reactive oxygen species (ROS) and T helper 17 (TH17) cells have been known to play an important role in the pathogenesis of rheumatoid arthritis (RA). However, the interrelationship between ROS and TH17 remains unclear in RAObjectives:To explore whether ROS affect TH17 cells in peripheral blood mononuclear cells (PBMC) of RA patients, we analyzed ROS expressions among T cell subsets following treatment with mitochondrial electron transport chain complex inhibitors.Methods:Blood samples were collected from 40 RA patients and 10 healthy adult volunteers. RA activity was divided according to clinical parameter DAS28. PBMC cells were obtained from the whole blood using lymphocyte separation medium density gradient centrifugation. Following PBMC was stained with Live/Dead stain dye, cells were incubated with antibodies for CD3, CD4, CD8, and CD25. After fixation and permeabilization, samples were stained with antibodies for FoxP3 and IL-17A. MitoSox were used for mitochondrial specific staining.Results:The frequency of TH17 cells was increased by 4.83 folds in moderate disease activity group (5.1>DAS28≥3.2) of RA patients compared to healthy control. Moderate RA activity patients also showed higher ratio of TH17/Treg than healthy control (3.57 folds). All RA patients had elevated expression of mitochondrial specific ROS than healthy control. When PBMC cells were treated with 2.5uM of antimycin A (mitochondrial electron transport chain complex III inhibitor) for 16 h, the frequency of TH17 cells was significantly decreased.Conclusion:The mitochondrial electron transport chain complex III inhibitor markedly downregulated the frequency of TH17 cells in moderate disease activity patients with RA. These findings provide a novel approach to regulate TH17 function in RA through mitochondrial metabolism related ROS production.References:[1]Szekanecz, Z., et al., New insights in synovial angiogenesis. Joint Bone Spine, 2010. 77(1): p. 13-9.[2]Prevoo, M.L., et al., Modified disease activity scores that include twenty-eight-joint counts. Development and validation in a prospective longitudinal study of patients with rheumatoid arthritis. Arthritis Rheum, 1995. 38(1): p. 44-8.Disclosure of Interests:None declared

scholarly journals Isotypes of autoantibodies against novel differential 4-hydroxy-2-nonenal-modified peptide adducts in serum is associated with rheumatoid arthritis in Taiwanese women

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Kai-Leun Tsai ◽  
Che-Chang Chang ◽  
Yu-Sheng Chang ◽  
Yi-Ying Lu ◽  
I-Jung Tsai ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Machine Learning ◽  
Disease Activity ◽  
Characteristic Curve ◽  
Factor H ◽  
Protein Adducts ◽  
Complement Factor ◽  
Increased Risk ◽  
Tandem Mass Spectrometric ◽  
Peptide Adducts

Abstract Background Rheumatoid arthritis (RA) is an autoimmune disorder with systemic inflammation and may be induced by oxidative stress that affects an inflamed joint. Our objectives were to examine isotypes of autoantibodies against 4-hydroxy-2-nonenal (HNE) modifications in RA and associate them with increased levels of autoantibodies in RA patients. Methods Serum samples from 155 female patients [60 with RA, 35 with osteoarthritis (OA), and 60 healthy controls (HCs)] were obtained. Four novel differential HNE-modified peptide adducts, complement factor H (CFAH)1211–1230, haptoglobin (HPT)78–108, immunoglobulin (Ig) kappa chain C region (IGKC)2–19, and prothrombin (THRB)328–345, were re-analyzed using tandem mass spectrometric (MS/MS) spectra (ProteomeXchange: PXD004546) from RA patients vs. HCs. Further, we determined serum protein levels of CFAH, HPT, IGKC and THRB, HNE-protein adducts, and autoantibodies against unmodified and HNE-modified peptides. Significant correlations and odds ratios (ORs) were calculated. Results Levels of HPT in RA patients were greatly higher than the levels in HCs. Levels of HNE-protein adducts and autoantibodies in RA patients were significantly greater than those of HCs. IgM anti-HPT78−108 HNE, IgM anti-IGKC2−19, and IgM anti-IGKC2−19 HNE may be considered as diagnostic biomarkers for RA. Importantly, elevated levels of IgM anti-HPT78−108 HNE, IgM anti-IGKC2−19, and IgG anti-THRB328−345 were positively correlated with the disease activity score in 28 joints for C-reactive protein (DAS28-CRP). Further, the ORs of RA development through IgM anti-HPT78−108 HNE (OR 5.235, p < 0.001), IgM anti-IGKC2−19 (OR 12.655, p < 0.001), and IgG anti-THRB328−345 (OR 5.761, p < 0.001) showed an increased risk. Lastly, we incorporated three machine learning models to differentiate RA from HC and OA, and performed feature selection to determine discriminative features. Experimental results showed that our proposed method achieved an area under the receiver operating characteristic curve of 0.92, which demonstrated that our selected autoantibodies combined with machine learning can efficiently detect RA. Conclusions This study discovered that some IgG- and IgM-NAAs and anti-HNE M-NAAs may be correlated with inflammation and disease activity in RA. Moreover, our findings suggested that IgM anti-HPT78−108 HNE, IgM anti-IGKC2−19, and IgG anti-THRB328−345 may play heavy roles in RA development.

scholarly journals AB0060 INCREASED AGE/AUTOIMMUNE-ASSOCIATED B CELLS IN RA AND CLINICAL IMPLICATIONS

2021 ◽  
Vol 80 (Suppl 1) ◽  
pp. 1061.3-1061
Author(s):  
Y. Qin ◽  
Z. Chen
Keyword(s):  
B Cells ◽  
Disease Activity ◽  
Inflammatory Cell ◽  
Cell Subset ◽  
Disease Status ◽  
Low Disease Activity ◽  
Rheumatoid Arthritis Joint ◽  
Healthy Control ◽  
Synovial Tissues

Background:Age/Autoimmune-associated B cells (ABCs) are an emerging B cell subset that accumulate in aged and autoimmune-prone mice. Expansion of human ABCs has been observed in patients with autoimmune diseases like SLE and correlated with disease activity. However, it is less known whether ABCs contribute to the pathogenesis of RA.Objectives:The aim of this work was to explore the role of ABCs in RA.Methods:83 RA patients who met the 2010 ACR classification criteria for RA, 42 sex and age matched healthy control (HC), 35 Spondyloarthritis (SpA) and 31 Osteoarthritis (OA) patients were enrolled and blood samples were collected. The proportion of circulating ABCs was detected by flow cytometry and association with clinical and laboratory parameters were analyzed. Expression of characteristic proteins and inflammatory cytokines on ABCs were examined by quantitative real-time PCR.Results:The proportion of ABCs, defined as CD19+CD27-IgD-CD21-CD11c+, was significantly elevated in RA patients, compared with HC, SpA and OA patients. The frequency of ABCs was higher in patients with high disease activity (DAS28>3.2) compared with remission and low disease activity (DAS28<3.2). There was a positive correlation of ABCs with SJC, TJC, DAS28 whereas no association with RF and anti-CCP titer were observed. In addition, increased mRNA expression levels of T-bet, IL-21, MAF and IL-17 were noted on ABCs compared with CD19+CD27-CD11c- B cells.Conclusion:ABCs were expanded in RA patients and associated with active disease status. It might contribute to RA development by production of IL-17.References:[1]Cancro, M.P., Age-Associated B Cells. Annu Rev Immunol, 2020. 38(315-340).[2]F. Zhang, K. Wei, K. Slowikowski et al., Defining inflammatory cell states in rheumatoid arthritis joint synovial tissues by integrating single-cell transcriptomics and mass cytometry. Nat Immunol 2019, 20, 928-942.Disclosure of Interests:None declared

scholarly journals Capsaicin-sensitive sensory nerves exert complex regulatory functions in the serum-transfer mouse model of autoimmune arthritis

2015 ◽  
Vol 45 ◽  
pp. 50-59 ◽  
Author(s):  
Éva Borbély ◽  
Bálint Botz ◽  
Kata Bölcskei ◽  
Tibor Kenyér ◽  
László Kereskai ◽  
...  
Keyword(s):  
Mouse Model ◽  
Sensory Nerves ◽  
Autoimmune Arthritis ◽  
Serum Transfer ◽  
Regulatory Functions

Circulating miR-126 as a Potential Non-invasive Biomarker for Intracranial Aneurysmal Rupture: A Pilot Study

2021 ◽  
Vol 19 ◽  
Author(s):  
Jianing Wu ◽  
Ilgiz Gareev ◽  
Ozal Beylerli ◽  
Albert Mukhamedzyanov ◽  
Valentin Pavlov ◽  
...  
Keyword(s):  
Aneurysmal Subarachnoid Hemorrhage ◽  
Diagnostic Value ◽  
Plasma Samples ◽  
Expression Levels ◽  
Time Points ◽  
Non Invasive ◽  
Risk Of Rupture ◽  
Life Threatening ◽  
Healthy Control ◽  
New Biomarkers

Aim: Intracranial aneurysms (IAs) are characterized by abnormal dilation and thinning of the cerebral vessels wall, leading to rupture and life-threatening aneurysmal subarachnoid hemorrhage (aSAH) condition. This dictates the need to find new biomarkers that predict the presence of IAs and the risk of their rupture. The aim of this study was to measure circulating miR-126 at various time points post-aSAH to identify the timing of peak levels. Methods: Plasma samples from 62 patients with unruptured IAs (UIAs), 80 patients with aSAH at various time points (1, 3, 7, and 14 days post-event), and 47 healthy control were collected and subjected to qRT-PCR analyses for the expression levels of circulating miR-126. ROC curve and AUC were used to evaluate the diagnostic value of circulating miR-126. Results: The expression levels of circulating miR-126 were increased in patients with UIAs than in the healthy control. Furthermore, the expression levels of circulating miR-126 rose substantially from day 1 to day 7, but with a moderate decrease from day 7 to day 14 in plasma of patients with aSAH. The peak was observed on day 7. The AUC for miR-126 was 0.75, 0.75, 0.82, 0.87, and 0.79, respectively, and demonstrated that circulating miR-126 displayed considerable accuracy in discriminating plasma of patients with UIAs and patients after aSAH at various time points from a healthy control. Conclusion: Our results indicated that circulating miR-126 in plasma samples could be served as a potential non-invasive biomarker in IAs detection and prevention IAs with a high risk of rupture.

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